The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-02"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "34582601 (up from 34279697 yesterday: 0.88 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1027825 (up from 1022705 yesterday: 0.5 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6101188

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.97



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7332200 54441 0.75 888457 208695 906 0.44 2.85
India 6473544 87018 1.36 1813560 100842 1222 1.23 1.56
Brazil 4847092 0 0.00 564928 144680 0 0.00 2.98
Russia 1188928 9294 0.79 140671 20981 185 0.89 1.76
Colombia 841532 6193 0.74 139444 26397 201 0.77 3.14
Peru 818297 3468 0.43 108230 32535 72 0.22 3.98
Spain 789932 11325 1.45 223606 32086 113 0.35 4.06
Argentina 779689 14687 1.92 243984 20599 311 1.53 2.64
Mexico 753090 4775 0.64 94791 78492 414 0.53 10.42
South Africa 677833 1749 0.26 31435 16909 43 0.25 2.49
France 629431 12445 2.02 227541 32171 137 0.43 5.11
United Kingdom 469769 6994 1.51 105681 42358 66 0.16 9.02
Chile 466590 1840 0.40 36055 12867 45 0.35 2.76
Iran 464596 3552 0.77 66795 26567 187 0.71 5.72
Iraq 372259 4785 1.30 89587 9298 67 0.73 2.50
Bangladesh 366383 1396 0.38 31621 5305 33 0.63 1.45
Saudi Arabia 335578 481 0.14 11171 4823 29 0.60 1.44
Turkey 321512 1442 0.45 33386 8325 63 0.76 2.59
Italy 319908 2499 0.79 35112 35941 23 0.06 11.23
Philippines 316678 2599 0.83 63714 5616 54 0.97 1.77
Pakistan 313984 553 0.18 13029 6507 8 0.12 2.07
Germany 298374 2835 0.96 38639 9518 9 0.09 3.19
Indonesia 295499 4317 1.48 84559 10972 116 1.07 3.71
Israel 258920 5430 2.14 110356 1633 11 0.68 0.63
Ukraine 223376 4751 2.17 71003 4357 69 1.61 1.95
Canada 165054 2124 1.30 27378 9466 98 1.05 5.74
Ecuador 139534 950 0.69 24802 11495 62 0.54 8.24
Bolivia 136219 503 0.37 11047 8045 44 0.55 5.91
Netherlands 133166 3883 3.00 49796 6482 12 0.19 4.87
Romania 132001 2343 1.81 30926 4915 53 1.09 3.72
Morocco 128565 2521 2.00 46368 2263 34 1.53 1.76
Qatar 126164 205 0.16 4877 215 1 0.47 0.17
Belgium 124234 3175 2.62 32697 10037 14 0.14 8.08
Panama 113962 620 0.55 13632 2406 19 0.80 2.11
Dominican Republic 113350 622 0.55 11118 2117 9 0.43 1.87
Kazakhstan 108106 62 0.06 1377 1725 0 0.00 1.60
Kuwait 106087 411 0.39 12612 615 3 0.49 0.58
Egypt 103466 149 0.14 2758 5956 10 0.17 5.76
Oman 98585 0 0.00 10248 935 0 0.00 0.95
United Arab Emirates 96529 1181 1.24 18687 424 3 0.71 0.44
Poland 95773 2292 2.45 22726 2570 27 1.06 2.68
Sweden 94283 668 0.71 7778 5895 2 0.03 6.25
Guatemala 93090 681 0.74 12081 3267 6 0.18 3.51
China 90584 17 0.02 439 4739 0 0.00 5.23
Japan 84768 524 0.62 10210 1591 11 0.70 1.88
Nepal 82450 2722 3.41 30531 520 11 2.16 0.63
Belarus 79421 402 0.51 5637 844 5 0.60 1.06
Honduras 78269 671 0.86 12220 2386 6 0.25 3.05
Czechia 78051 3796 5.11 44191 699 21 3.10 0.90
Costa Rica 77829 1001 1.30 23860 930 13 1.42 1.19
Portugal 77284 888 1.16 14471 1983 6 0.30 2.57
Ethiopia 76988 890 1.17 13621 1208 3 0.25 1.57
Venezuela 76820 791 1.04 18157 643 8 1.26 0.84
Bahrain 71803 429 0.60 12964 255 1 0.39 0.36
Nigeria 59127 126 0.21 3110 1112 0 0.00 1.88
Singapore 57794 10 0.02 479 27 0 0.00 0.05
Uzbekistan 57454 264 0.46 11294 472 1 0.21 0.82
Moldova 55016 952 1.76 12833 1344 8 0.60 2.44
Switzerland 54384 552 1.03 8145 2075 1 0.05 3.82
Algeria 51847 157 0.30 4095 1749 8 0.46 3.37
Armenia 51382 532 1.05 5879 966 3 0.31 1.88
Kyrgyzstan 47056 215 0.46 2295 1065 0 0.00 2.26
Ghana 46694 38 0.08 1306 301 0 0.00 0.64
Austria 46374 688 1.51 14547 803 1 0.12 1.73
Paraguay 42684 885 2.12 16172 890 21 2.42 2.09
Lebanon 42173 1291 3.16 19190 386 12 3.21 0.92
West Bank and Gaza 40766 444 1.10 11510 321 3 0.94 0.79
Azerbaijan 40453 144 0.36 2416 594 1 0.17 1.47
Afghanistan 39290 5 0.01 684 1458 0 0.00 3.71
Kenya 38923 210 0.54 3130 725 14 1.97 1.86
Ireland 37063 466 1.27 6492 1801 -5 -0.28 4.86
Libya 35717 509 1.45 13809 570 11 1.97 1.60
Serbia 33735 73 0.22 1507 751 1 0.13 2.23
Denmark 29418 536 1.86 9772 652 1 0.15 2.22
El Salvador 29175 0 0.00 2402 853 5 0.59 2.92
Hungary 28631 1322 4.84 17722 798 17 2.18 2.79
Bosnia and Herzegovina 27975 226 0.81 5141 871 10 1.16 3.11
Australia 27121 12 0.04 514 893 3 0.34 3.29
Korea, South 24027 75 0.31 1972 420 4 0.96 1.75
Bulgaria 21336 503 2.41 3537 838 13 1.58 3.93
Cameroon 20924 86 0.41 915 420 2 0.48 2.01
Cote d’Ivoire 19793 38 0.19 877 120 0 0.00 0.61
Tunisia 19721 1308 7.10 13462 271 6 2.26 1.37
Greece 19346 460 2.44 6612 398 5 1.27 2.06
North Macedonia 18363 225 1.24 2808 749 6 0.81 4.08
Croatia 17160 333 1.98 4053 291 7 2.46 1.70
Madagascar 16493 39 0.24 824 232 0 0.00 1.41
Burma 15525 1142 7.94 13103 353 32 9.97 2.27
Senegal 15051 32 0.21 858 312 1 0.32 2.07
Zambia 14830 28 0.19 1507 333 0 0.00 2.25
Norway 14284 135 0.95 2281 275 1 0.36 1.93
Albania 13965 159 1.15 2944 389 1 0.26 2.79
Sudan 13653 0 0.00 183 836 0 0.00 6.12
Jordan 13650 549 4.19 10705 79 10 14.49 0.58
Kosovo 12683 0 0.00 0 488 0 0.00 3.85
Malaysia 11771 287 2.50 1961 136 0 0.00 1.16
Montenegro 11690 703 6.40 5305 172 2 1.18 1.47
Slovakia 11617 679 6.21 6365 54 6 12.50 0.46
Namibia 11480 107 0.94 2043 123 0 0.00 1.07
Guinea 10735 83 0.78 756 66 0 0.00 0.61
Congo (Kinshasa) 10729 44 0.41 368 272 0 0.00 2.54
Maldives 10398 44 0.42 1408 34 0 0.00 0.33
Finland 10244 141 1.40 1732 345 1 0.29 3.37

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 826013 3808 0.46 71108 16054 81 0.51 1.94 20905.25 406.30 1 in 48
Texas 782306 5570 0.72 107272 16224 94 0.58 2.07 26979.90 559.53 1 in 37
Florida 711804 2660 0.38 53423 14554 110 0.76 2.04 33141.48 677.63 1 in 30
New York 461629 1598 0.35 18838 33199 40 0.12 7.19 23729.79 1706.58 1 in 42
Georgia 320634 1275 0.40 29853 7106 43 0.61 2.22 30198.85 669.28 1 in 33
Illinois 300340 2456 0.82 40461 8992 52 0.58 2.99 23701.41 709.61 1 in 42
Arizona 219763 551 0.25 12240 5693 19 0.33 2.59 28859.63 747.61 1 in 35
North Carolina 214684 1786 0.84 32398 3608 29 0.81 1.68 20469.32 344.01 1 in 49
New Jersey 206629 740 0.36 10741 16131 -9 -0.06 7.81 23263.29 1816.11 1 in 43
Tennessee 198403 971 0.49 28544 2515 14 0.56 1.27 29035.26 368.06 1 in 34
Louisiana 167401 817 0.49 11227 5545 26 0.47 3.31 36009.55 1192.78 1 in 28
Pennsylvania 166238 1194 0.72 18535 8162 18 0.22 4.91 12985.33 637.56 1 in 77
Ohio 156809 1495 0.96 21483 4905 88 1.83 3.13 13414.98 419.62 1 in 75
Alabama 156698 954 0.61 19995 2550 2 0.08 1.63 31958.41 520.07 1 in 31
Virginia 149490 954 0.64 17919 3247 22 0.68 2.17 17513.87 380.41 1 in 57
South Carolina 149185 862 0.58 20139 3409 9 0.26 2.29 28975.20 662.11 1 in 35
Michigan 139996 984 0.71 17745 7110 8 0.11 5.08 14018.02 711.94 1 in 71
Massachusetts 133631 761 0.57 9645 9490 10 0.11 7.10 19228.86 1365.57 1 in 52
Missouri 130981 4075 3.21 30713 2146 72 3.47 1.64 21341.35 349.66 1 in 47
Wisconsin 127906 2745 2.19 41656 1353 5 0.37 1.06 21967.79 232.38 1 in 46
Maryland 126222 712 0.57 11498 3950 1 0.03 3.13 20878.05 653.36 1 in 48
Indiana 122640 1464 1.21 19135 3656 11 0.30 2.98 18216.88 543.06 1 in 55
Minnesota 101366 1166 1.16 18650 2112 10 0.48 2.08 17973.87 374.49 1 in 56
Mississippi 99558 672 0.68 10383 2999 20 0.67 3.01 33451.95 1007.68 1 in 30
Iowa 91482 1054 1.17 18083 1377 11 0.81 1.51 28995.24 436.44 1 in 34
Oklahoma 89559 1190 1.35 21917 1044 9 0.87 1.17 22633.22 263.84 1 in 44
Washington 88810 694 0.79 9799 2143 11 0.52 2.41 11662.67 281.42 1 in 86
Arkansas 85779 958 1.13 17868 1391 7 0.51 1.62 28424.11 460.93 1 in 35
Nevada 81182 772 0.96 8376 1609 6 0.37 1.98 26356.46 522.38 1 in 38
Utah 75157 1107 1.49 18482 474 15 3.27 0.63 23442.91 147.85 1 in 43
Colorado 71876 679 0.95 11414 2057 3 0.15 2.86 12481.21 357.20 1 in 80
Kentucky 70727 999 1.43 15023 1197 6 0.50 1.69 15830.84 267.92 1 in 63
Kansas 60468 954 1.60 12098 688 16 2.38 1.14 20755.74 236.16 1 in 48
Connecticut 58297 555 0.96 3971 4513 2 0.04 7.74 16351.28 1265.82 1 in 61
Puerto Rico 49747 680 1.39 13166 673 8 1.20 1.35 15576.63 210.73 1 in 64
Nebraska 46977 792 1.71 9126 493 0 0.00 1.05 24284.95 254.86 1 in 41
Idaho 43238 677 1.59 8288 474 2 0.42 1.10 24127.47 264.50 1 in 41
Oregon 34163 301 0.89 5298 563 3 0.54 1.65 8099.84 133.48 1 in 123
New Mexico 30000 339 1.14 3437 887 5 0.57 2.96 14307.32 423.02 1 in 70
Rhode Island 25076 162 0.65 2171 1118 1 0.09 4.46 23670.87 1055.35 1 in 42
South Dakota 23522 386 1.67 7405 237 1 0.42 1.01 26588.78 267.90 1 in 38
North Dakota 22694 476 2.14 8010 264 8 3.12 1.16 29779.73 346.43 1 in 34
Delaware 20937 150 0.72 2378 642 6 0.94 3.07 21501.10 659.30 1 in 47
West Virginia 16307 281 1.75 4130 361 2 0.56 2.21 9124.60 202.00 1 in 110
District of Columbia 15326 0 0.00 833 627 0 0.00 4.09 21715.94 888.42 1 in 46
Montana 13855 355 2.63 5070 186 5 2.76 1.34 12963.40 174.03 1 in 77
Hawaii 12601 86 0.69 2142 142 3 2.16 1.13 8899.82 100.29 1 in 112
New Hampshire 8534 217 2.61 914 442 1 0.23 5.18 6276.33 325.07 1 in 159
Alaska 8073 125 1.57 1969 57 0 0.00 0.71 11035.55 77.92 1 in 91
Wyoming 6214 131 2.15 1950 53 0 0.00 0.85 10736.77 91.58 1 in 93
Maine 5466 38 0.70 674 141 0 0.00 2.58 4066.32 104.89 1 in 246
Vermont 1768 13 0.74 100 58 0 0.00 3.28 2833.38 92.95 1 in 353

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 14868431 826013 5.56 2416771 71108 2.94 376299.5
2 Texas 6368742 782306 12.28 914701 107272 11.73 219643.0
3 Florida 5351521 711804 13.30 474765 53423 11.25 249166.0
4 New York 10976024 461629 4.21 1833324 18838 1.03 564216.7
5 Georgia 2970013 320634 10.80 411694 29853 7.25 279730.1
6 Illinois 5765867 300340 5.21 1131390 40461 3.58 455014.9
7 Arizona 1478504 219763 14.86 199080 12240 6.15 194159.5
8 North Carolina 3099704 214684 6.93 541050 32398 5.99 295545.3
9 New Jersey 3672127 206629 5.63 531341 10741 2.02 413425.9
10 Tennessee 2919014 198403 6.80 498635 28544 5.72 427182.7
11 Louisiana 2357449 167401 7.10 319696 11227 3.51 507109.8
12 Pennsylvania 2066255 166238 8.05 271342 18535 6.83 161401.1
13 Ohio 3271748 156809 4.79 752535 21483 2.85 279897.3
14 Alabama 1145601 156698 13.68 134679 19995 14.85 233644.2
15 Virginia 2094361 149490 7.14 360314 17919 4.97 245370.1
16 South Carolina 1338052 149185 11.15 293576 20139 6.86 259880.8
17 Michigan 3723748 139996 3.76 650962 17745 2.73 372864.9
18 Massachusetts 4200018 133631 3.18 1294665 9645 0.74 604362.4
19 Missouri 1326189 130981 9.88 229617 30713 13.38 216082.2
20 Wisconsin 1580519 127906 8.09 234860 41656 17.74 271453.3
21 Maryland 1639785 126222 7.70 206909 11498 5.56 271232.5
22 Indiana 1398522 122640 8.77 215418 19135 8.88 207735.7
23 Minnesota 2086963 101366 4.86 874403 18650 2.13 370053.0
24 Mississippi 738401 99558 13.48 120022 10383 8.65 248106.2
25 Iowa 775992 91482 11.79 102395 18083 17.66 245950.8
26 Oklahoma 1230160 89559 7.28 255409 21917 8.58 310884.3
27 Washington 1884074 88810 4.71 269326 9799 3.64 247419.6
28 Arkansas 1054260 85779 8.14 255902 17868 6.98 349344.3
29 Nevada 706635 81182 11.49 73353 8376 11.42 229415.3
30 Utah 845583 75157 8.89 137776 18482 13.41 263753.6
31 Colorado 1376920 71876 5.22 289721 11414 3.94 239101.1
32 Kentucky 1422520 70727 4.97 521830 15023 2.88 318402.9
33 Kansas 531117 60468 11.39 82187 12098 14.72 182306.8
34 Connecticut 1676410 58297 3.48 345426 3971 1.15 470203.4
36 Nebraska 464264 46977 10.12 70452 9126 12.95 240003.1
37 Idaho 311337 43238 13.89 37521 8288 22.09 173730.9
38 Oregon 697293 34163 4.90 91554 5298 5.79 165324.0
39 New Mexico 928389 30000 3.23 121390 3437 2.83 442758.6
40 Rhode Island 797014 25076 3.15 181331 2171 1.20 752353.5
41 South Dakota 196261 23522 11.99 35298 7405 20.98 221849.3
42 North Dakota 626450 22694 3.62 120052 8010 6.67 822046.0
43 Delaware 290283 20937 7.21 33585 2378 7.08 298104.1
44 West Virginia 576499 16307 2.83 104708 4130 3.94 322580.6
45 District of Columbia 394118 15326 3.89 72682 833 1.15 558439.3
46 Montana 353362 13855 3.92 78704 5070 6.44 330622.5
47 Hawaii 300459 12601 4.19 53976 2142 3.97 212207.7
48 New Hampshire 455869 8534 1.87 228578 914 0.40 335269.0
49 Alaska 469290 8073 1.72 74704 1969 2.64 641505.3
50 Wyoming 103278 6214 6.02 16923 1950 11.52 178447.3
51 Maine 449290 5466 1.22 129282 674 0.52 334240.4
52 Vermont 164859 1768 1.07 16284 100 0.61 264201.8

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1430861 353487 32.81 1134555 79.29 258108 37758 7864 26.31 2.64
Andhra Pradesh 713014 137935 23.99 651791 91.41 55282 5941 969 19.49 0.83
Karnataka 630516 162827 34.82 508495 80.65 112783 9219 1835 24.85 1.46
Tamil Nadu 614507 105996 20.84 558534 90.89 46255 9718 1284 15.22 1.58
Uttar Pradesh 410626 93431 29.46 356826 86.90 47823 5977 1486 33.09 1.46
Delhi 287930 66397 29.97 257224 89.34 25234 5472 702 14.72 1.90
West Bengal 266974 61055 29.65 234712 87.92 27130 5132 1129 28.20 1.92
Odisha 229387 74382 47.99 198194 86.40 30248 945 255 36.96 0.41
Kerala 221334 110515 99.73 139616 63.08 80818 814 359 78.90 0.37
Telangana 197327 38814 24.49 167846 85.06 28328 1153 179 18.38 0.58
Bihar 186690 27164 17.03 173795 93.09 11982 912 81 9.75 0.49
Assam 185444 41278 28.63 150773 81.30 33933 735 253 52.49 0.40
Rajasthan 141846 37708 36.21 119241 84.06 21075 1530 280 22.40 1.08
Gujarat 141397 26401 22.96 121219 85.73 16688 3490 262 8.12 2.47
Madhya Pradesh 133918 43188 47.60 111712 83.42 19807 2399 608 33.95 1.79
Haryana 132576 36447 37.91 118258 89.20 12868 1450 450 45.00 1.09
Chhattisgarh 121400 54073 80.31 91077 75.02 29292 1031 458 79.93 0.85
Punjab 117319 35219 42.90 99468 84.78 14289 3562 1139 47.01 3.04
Jharkhand 86277 23540 37.52 74604 86.47 10939 734 173 30.84 0.85
Jammu and Kashmir 78228 22903 41.40 61351 78.43 15646 1231 336 37.54 1.57
Uttarakhand 50062 17046 51.63 41095 82.09 8076 648 219 51.05 1.29
Goa 34900 10002 40.17 29527 84.60 4923 450 146 48.03 1.29
Puducherry 28752 8526 42.15 23344 81.19 4874 534 140 35.53 1.86
Tripura 26549 7365 38.39 20874 78.62 5366 286 86 43.00 1.08
Himachal Pradesh 15695 5772 58.17 12173 77.56 3292 205 124 153.09 1.31
Chandigarh 12360 4115 49.91 10396 84.11 1792 172 77 81.05 1.39
Manipur 11649 3678 46.14 9081 77.96 2497 71 25 54.35 0.61
Arunachal Pradesh 10421 4124 65.49 7388 70.90 3015 18 7 63.64 0.17
Meghalaya 6456 2593 67.12 4319 66.90 2083 54 26 92.86 0.84
Nagaland 6429 1215 23.30 5212 81.07 1150 12 4 50.00 0.19
Ladakh 4477 1058 30.94 3315 74.05 1101 61 20 48.78 1.36
Andaman and Nicobar Islands 3868 311 8.74 3642 94.16 173 53 1 1.92 1.37
Dadra and Nagar Haveli and Daman and Diu 3071 328 11.96 2936 95.60 101 2 0 0.00 0.07
Sikkim 3050 931 43.94 2367 77.61 640 43 27 168.75 1.41
Mizoram 2103 675 47.27 1772 84.26 331 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2153477 107358 307 0.29 4.99 302 39 9166 16964 15.80
Piemonte 732595 35731 219 0.62 4.88 217 13 3060 4166 11.66
Emilia-Romagna 1197910 35577 163 0.46 2.97 201 11 4677 4484 12.60
Veneto 1941237 28087 191 0.68 1.45 167 22 4027 2189 7.79
Lazio 901372 17004 264 1.58 1.89 678 49 7547 928 5.46
Toscana 757609 15194 223 1.49 2.01 103 24 3631 1165 7.67
Liguria 317583 13586 140 1.04 4.28 161 23 1829 1608 11.84
Campania 612784 13524 392 2.99 2.21 439 39 6745 464 3.43
Marche 250543 8025 42 0.53 3.20 25 4 844 990 12.34
Puglia 417465 7972 72 0.91 1.91 223 13 2663 597 7.49
Sicilia 496034 7414 140 1.92 1.49 303 21 3048 314 4.24
P.A. Trento 233688 6079 39 0.65 2.60 16 0 587 406 6.68
Friuli Venezia Giulia 418775 4789 66 1.40 1.14 18 2 793 353 7.37
Abruzzo 203892 4498 49 1.10 2.21 58 6 938 481 10.69
Sardegna 194581 4056 60 1.50 2.08 106 21 2154 155 3.82
P.A. Bolzano 179991 3589 21 0.59 1.99 28 0 587 292 8.14
Umbria 209180 2562 62 2.48 1.22 39 4 610 85 3.32
Calabria 205388 2020 18 0.90 0.98 34 1 538 100 4.95
Valle d’Aosta 29534 1326 11 0.84 4.49 8 0 77 146 11.01
Basilicata 74908 857 16 1.90 1.14 11 2 345 30 3.50
Molise 43913 660 4 0.61 1.50 5 0 131 24 3.64

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 76273 1052 1.40 5857 7 0.12 7.68 8933.70 686.02 1 in 112
Ontario 55375 732 1.34 2983 84 2.90 5.39 3763.98 202.76 1 in 266
Alberta 18357 122 0.67 272 3 1.12 1.48 4159.62 61.63 1 in 240
British Columbia 9381 161 1.75 238 3 1.28 2.54 1835.48 46.57 1 in 545
Manitoba 2072 43 2.12 21 1 5.00 1.01 1504.16 15.24 1 in 665
Saskatchewan 1940 13 0.67 24 0 0.00 1.24 1641.75 20.31 1 in 609
Nova Scotia 1089 1 0.09 65 0 0.00 5.97 1114.12 66.50 1 in 898
Newfoundland and Labrador 275 0 0.00 3 0 0.00 1.09 527.46 5.75 1 in 1896
New Brunswick 200 0 0.00 2 0 0.00 1.00 256.41 2.56 1 in 3900
Prince Edward Island 59 0 0.00 0 0 NaN 0.00 373.04 0.00 1 in 2681
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5104 105 2.06
Guangdong 1834 8 0.44
Zhejiang 1282 1 0.08
Henan 1281 22 1.72
Hunan 1019 4 0.39
Shanghai 1011 7 0.69
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 936 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 832 7 0.84
Sichuan 698 3 0.43
Jiangsu 666 0 0.00
Chongqing 585 6 1.03
Fujian 411 1 0.24
Shaanxi 411 3 0.73
Hebei 365 6 1.64
Liaoning 271 2 0.74
Inner Mongolia 266 1 0.38
Guangxi 259 2 0.77
Tianjin 240 3 1.25
Yunnan 209 2 0.96
Shanxi 204 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 22408.92 637.82 1 in 45
India 4834.61 75.31 1 in 207
Brazil 23158.59 691.26 1 in 43
Russia 8227.88 145.20 1 in 122
Colombia 17149.62 537.95 1 in 58
Peru 25436.65 1011.35 1 in 39
Spain 16929.53 687.66 1 in 59
Argentina 17612.13 465.30 1 in 57
Mexico 5828.87 607.52 1 in 172
South Africa 11950.51 298.11 1 in 84
France 9395.89 480.24 1 in 106
United Kingdom 7070.57 637.54 1 in 141
Chile 25849.86 712.85 1 in 39
Iran 5724.45 327.34 1 in 175
Iraq 9727.18 242.96 1 in 103
Bangladesh NA NA 1 in NA
Saudi Arabia 10187.55 146.42 1 in 98
Turkey 3978.62 103.02 1 in 251
Italy 5289.48 594.26 1 in 189
Philippines 3018.86 53.54 1 in 331

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 272653 6626 2.43
Miami-Dade Florida 171391 3314 1.93
Cook Illinois 146917 5239 3.57
Harris Texas 146234 2615 1.79
Maricopa Arizona 142566 3416 2.40
Dallas Texas 82410 1139 1.38
Broward Florida 77631 1415 1.82
Queens New York 72863 7262 9.97
Kings New York 69319 7337 10.58
Clark Nevada 68162 1400 2.05
Riverside California 59934 1231 2.05
Bexar Texas 58039 1323 2.28
San Bernardino California 55671 962 1.73
Orange California 54118 1281 2.37
Bronx New York 53232 4957 9.31
Tarrant Texas 51081 728 1.43
San Diego California 47791 794 1.66
Nassau New York 47034 2201 4.68
Palm Beach Florida 46833 1389 2.97
Suffolk New York 46667 2011 4.31
Hillsborough Florida 42565 660 1.55
Orange Florida 40659 474 1.17
Westchester New York 38346 1454 3.79
Philadelphia Pennsylvania 37502 1815 4.84
Wayne Michigan 35704 2991 8.38
New York New York 33698 3181 9.44
Salt Lake Utah 32476 258 0.79
Hidalgo Texas 32406 1740 5.37
Kern California 32184 371 1.15
Shelby Tennessee 31389 480 1.53
Duval Florida 30787 419 1.36
Prince George’s Maryland 29791 827 2.78
Milwaukee Wisconsin 29790 539 1.81
Travis Texas 29647 430 1.45
Mecklenburg North Carolina 29271 360 1.23
Fresno California 28796 399 1.39
Hennepin Minnesota 28158 940 3.34
Middlesex Massachusetts 27961 2160 7.73
Fulton Georgia 27855 579 2.08
Gwinnett Georgia 27844 412 1.48
Franklin Ohio 27770 629 2.27
Davidson Tennessee 26959 313 1.16
Pima Arizona 25784 627 2.43
El Paso Texas 24999 531 2.12
St. Louis Missouri 24885 816 3.28
Suffolk Massachusetts 24764 1142 4.61
Cameron Texas 22917 953 4.16
Montgomery Maryland 22810 851 3.73
Sacramento California 22755 426 1.87
King Washington 22749 767 3.37
Bergen New Jersey 22633 2045 9.04
Pinellas Florida 22347 759 3.40
Marion Indiana 21950 769 3.50
Santa Clara California 21605 330 1.53
Alameda California 21508 420 1.95
Essex New Jersey 21201 2128 10.04
Fairfax Virginia 21064 590 2.80
Oakland Michigan 20993 1206 5.74
Hudson New Jersey 20804 1518 7.30
Nueces Texas 20661 419 2.03
Lee Florida 20638 476 2.31
San Joaquin California 20485 470 2.29
Jefferson Alabama 20442 354 1.73
Fairfield Connecticut 20400 1423 6.98
Essex Massachusetts 20257 1294 6.39
Polk Florida 20217 531 2.63
Utah Utah 20132 61 0.30
Cobb Georgia 19872 429 2.16
Middlesex New Jersey 19766 1430 7.23
Passaic New Jersey 19161 1256 6.55
DeKalb Georgia 19030 371 1.95
Providence Rhode Island 18927 0 0.00
Oklahoma Oklahoma 18709 197 1.05
Baltimore Maryland 18213 632 3.47
DuPage Illinois 18021 566 3.14
Wake North Carolina 18014 257 1.43
Cuyahoga Ohio 17796 663 3.73
Union New Jersey 17789 1357 7.63
Jefferson Louisiana 17683 570 3.22
Tulsa Oklahoma 17632 167 0.95
Lake Illinois 17383 493 2.84
Contra Costa California 16973 209 1.23
Douglas Nebraska 16817 195 1.16
Stanislaus California 16628 368 2.21
Fort Bend Texas 16572 292 1.76
Polk Iowa 16406 270 1.65
Tulare California 16322 263 1.61
Jefferson Kentucky 16308 311 1.91
Out of GA Georgia 16228 161 0.99
Richmond New York 16061 1086 6.76
Charleston South Carolina 15932 264 1.66
Baltimore City Maryland 15864 486 3.06
Rockland New York 15849 677 4.27
Richland South Carolina 15522 248 1.60
District of Columbia District of Columbia 15326 627 4.09
East Baton Rouge Louisiana 15242 443 2.91
Macomb Michigan 14995 1027 6.85
Hartford Connecticut 14989 1439 9.60
Greenville South Carolina 14684 308 2.10
Worcester Massachusetts 14598 1119 7.67

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc